ArticleEpidemiology and psychiatric sciences2023
Exploring the genetic correlation of cardiovascular diseases and mood disorders in the UK Biobank.
Article in Epidemiology and psychiatric sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Inflammation-HDL axis indices differentiate drug-naïve first-episode mania and recurrent mania from healthy controls: a covariate-adjusted study.Frontiers in psychiatry · 2026Article
- Anxiety disorder, depression and coronary artery disease: associations and modification by genetic susceptibility.BMC medicine · 2025Article
- Multigenerational family coaggregation study of obsessive-compulsive disorder and cardiometabolic disorders.BMJ mental health · 2025Article
- Unraveling the heart-brain axis: shared genetic mechanisms in cardiovascular diseases and Schizophrenia.Schizophrenia (Heidelberg, Germany) · 2024Article
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4 authors.
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Abstract
aimsCardiovascular diseases (CVDs) are the leading cause of deaths globally. Mortality and incidence of CVDs are significantly higher in people with mood disorders. About 81.1% of CVD patients were reported with comorbidities in 2019, where the second most common comorbidity was due to major depressive disorder (MDD). This study, therefore, aimed to evaluate the genetic correlation between CVDs and mood disorders by using data from the UK Biobank towards understanding the influence of genetic factors on the comorbidity due to CVDs and mood disorders.
methodsThe UK Biobank database provides genetic and health information from half a million adults, aged 40-69 years, recruited between 2006 and 2010. A total of 117,925 participants and 6,128,294 variants were included for analysis after applying exclusion criteria and quality control steps. This study focused on two CVD phenotypes, two mood disorders and 12 cardiometabolic-related traits to conduct association studies.
resultsThe results indicated a significant positive genetic correlation between CVDs and overall mood disorders and MDD specifically, showing substantial genetic overlap. Genetic correlation between CVDs and bipolar disorder was not significant. Furthermore, significant genetic correlation between mood disorders and cardiometabolic traits was also reported.
conclusionsThe results of this study can be used to understand that CVDs and mood disorders share a great deal of genetic liability in individuals of European ancestry.
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